Area-based validity assessment of single- and multi-class object-based image analysis

Whiteside, Tim, Boggs, Guy and Maier, Stefan (2010) Area-based validity assessment of single- and multi-class object-based image analysis. In: 15th Australasian Remote Sensing and Photogrammetry Conference, 13-17 September 2010, Alice Springs.

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Object-based image analysis (OBIA) produces results that have both thematic and geometric properties. A classified image contains objects that not only belong to particular classes but also have spatial properties such as location and shape. Therefore, any accuracy assessment must (but often does not) take into account both thematic and geometric properties of the classified objects. Using area-based measures to compare classified objects to corresponding reference objects, accuracy information for both thematic and geometric assessment is available. Our methods provide area-based measures with application to both a single-class feature extraction and multi-class object-based land cover analysis. This work showcases the utility of the methods for assessing the accuracy of OBIA derived classifications provided the reference data is accurate and of comparable scale.

Item Type: Conference or Workshop Item (Paper)
Keywords: object-based image analysis, accuracy assessment
Field of Research (2008): 09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
Date Deposited: 12 Mar 2011 23:08
Last Modified: 12 Mar 2011 23:08

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